Congress:
ECR24
Poster Number:
C-18800
Type:
EPOS Radiologist (scientific)
DOI:
10.26044/ecr2024/C-18800
Authorblock:
C. Battaglia, F. Manti, G. Conti, M. Petullà, A. ROTUNDO, C. Cosentino, P. Zaffino, D. Laganà; catanzaro/IT
Disclosures:
Caterina Battaglia:
Nothing to disclose
Francesco Manti:
Nothing to disclose
Giuliana Conti:
Nothing to disclose
Maria Petullà:
Nothing to disclose
ANNA ROTUNDO:
Nothing to disclose
Carlo Cosentino:
Nothing to disclose
Paolo Zaffino:
Nothing to disclose
Domenico Laganà:
Nothing to disclose
Keywords:
Artificial Intelligence, Computer applications, Lung, CT, Computer Applications-Detection, diagnosis, Cancer
We created a dataset including TC images of patients with histological diagnosis of lung cancer who have undergone chest CT scan without or with contrast agent at the Dulbecco Hospital (Catanzaro, Italy) with volume reconstructions at 0,5- and 1-mm thick slice. The images were obtained with TC Toshiba Aquilion ONE (Canon Medical System Europe B.V., Zoetermeer, Netherlands). The application used to highlight lesions in CT scans was "3D Slicer", a free, open-source software package for scientific visualization and image analysis.